code: def test_scan_csv_overwrite_small_dtypes(
      io_files_path: Path, dtype: pl.DataType
  ) -> None:
      file_path = io_files_path / "foods1.csv"
      df = pl.scan_csv(file_path, dtypes={"sugars_g": dtype}).collect(
          streaming=True
      )
      assert df.dtypes == [pl.String, pl.Int64, pl.Float64, dtype]
  
file_path: polars/py-polars/tests/unit/streaming/test_streaming_io.py
imports: from __future__ import annotations
  import unittest
  from typing import TYPE_CHECKING
  import pytest
  import polars
  from polars.testing import assert_frame_equal
label_desc: Use image node_id 3 for calling a global function with example usage: test_scan_csv_overwrite_small_dtypes(io_files_path, dtype) without return types